Ros Telemetry Analysis

Roboto ingests ROS, PX4, MCAP, Parquet, and custom logs into searchable datasets with tags and metadata. It enables automated processing, anomaly detection, AI‑powered summarization, and collaborative event sharing via Python SDK and CLI.

RealEye.io collects real‑time gaze, attention, and facial emotion data via participants’ webcams for image, video, or website stimuli. It offers triggers, heatmaps, fixation plots, API access, and records mouse/keyboard interactions for integrated survey analysis.

Riyo.ai unifies behavior analytics, capturing events, signals, errors, visitor journeys, session replays, and heatmaps in one dashboard. Teams use this data to improve features, reduce friction, and refine UX, while real‑time error monitoring ensures swift responses.

TrueROAS centralizes ad attribution by integrating server‑side tracking across Meta and Google Ads, applying AI to identify revenue‑driving touchpoints. It syncs with e‑commerce platforms, displays real‑time ROAS, CPA, and LTV, enabling data‑driven budget allocation and campaign scaling.

Rose AI unifies 50 million time‑series entries from 30+ vendors, automatically cleansing, structuring, and anomaly‑checking data in real‑time. Natural‑language queries and visualizations enable finance teams to extract audit‑ready insights quickly.

Tresl Segments analyzes Shopify store data with RFM and cohort methods, classifying customers into groups like loyal or at‑risk. Users build segments via AI, sync them to marketing channels in time, and view insights on lifetime value and campaign performance.

Rerun visualizes robotics logs, converting them into training‑ready datasets. Supporting C++, Python, Rust SDKs, it offers browser and desktop viewers for zooming, filtering, and annotating recordings, built‑in dataframe queries, and a shared catalog for collaborative debugging and secure enterprise

Latitude offers end‑to‑end observability for LLM deployments, recording inputs, outputs, and context. It enables manual annotations, automated error grouping, continuous evaluation, and prompt optimization with GEPA. OTEL telemetry and SDK integrations support major model providers.

LatenceTech offers a cloud or on‑prem platform that applies machine learning for real‑time monitoring and predictive analytics across Wi‑Fi, LTE, 5G, and satellite networks, delivering latency, throughput, and packet‑loss alerts to keep telecom, utilities, and logistics networks reliable.

Respan offers AI observability by tracing prompts, tool calls, and responses, enabling end‑to‑end debugging, evaluation with human, code, and LLM reviews, and real‑time monitoring for quality, cost, and compliance, and deployment orchestration across multiple cloud providers.

Rargus turns app reviews, support tickets, social media, and other customer feedback into structured insights. It consolidates multi‑channel data to help product managers, UX teams, and marketers prioritize features, refine experiences, and monitor brand loyalty.

Track Titan analyzes sim-racing telemetry to pinpoint lap-time losses and delivers targeted coaching for braking, throttle and racing line. It records in-game data, compares laps, highlights improvements, and auto-downloads AI-driven setups for supported sims.

Roe is an AI investigation platform for AML and compliance that analyzes structured and unstructured data—transactions, documents, calls, geolocation—automates case assembly via native connectors, provides explainable evidence trails, SOP-aware analyst memory, and risk pattern detection.